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This open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with preprocessed data at 200 Hz sampling rate. The dataset includes comprehensive preprocessing (bandpass filtering, ICA-based artifact rejection, common average referencing) and serves as a benchmark for validating hybrid BCI approaches that integrate multimodal neuroimaging signals.

Participants

29

Channels

30 (10-05)

Citations

94

HED

v8.4.0

Size

6.62 GB

Version

v1.0.3

Updated

Aug 18, 2026

…The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data…

Participants

20

Citations

29

Size

23.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds006126

Participants

6

Channels

3 (other)

Size

1.08 GB

Version

v1.0.0

Updated

Jul 10, 2026

…These tasks, which are publicly available, were optimized to capture neural activity…

Participants

127

Channels

27

Citations

7

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG recordings from five patients undergoing single-pulse electrical stimulation of temporal and limbic circuitry at Mayo Clinic. The study investigates Basis Profile Curve identification and distinct neural responses evoked in human ventral temporal cortex through direct brain stimulation, providing insights into functional connectivity and processing speed within the human connectome.

Participants

5

Citations

15

Size

11.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalographic (EEG) recordings from 71 healthy subjects performing a visual P300-based brain-computer interface task using the Brain Invaders videogame. Participants engaged with an oddball paradigm involving pseudo-random flashes of 36 symbols on a grid to elicit P300 event-related potentials. The study evaluated the feasibility of a calibration-less P300 BCI system using 16 dry electrodes, with real-time adaptive classification for online feedback during gameplay. EEG data were recorded using 16 active dry electrodes with up to three game sessions per subject, comprising 9 levels with up to 8 attempts per level.

Participants

64

Channels

16 (10-10)

Citations

18

HED

v8.4.0

Size

3.06 GB

Version

v1.0.3

Updated

Aug 18, 2026

…increasingly employed to elucidate these neural mechanisms of object recognition across these…

Participants

31

Citations

1

Size

215 GB

Version

v1.0.0

Updated

Aug 19, 2026

…recordings from a study investigating neural activity changes before and after an…

Participants

67

Channels

19 (10-20)

Size

686 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset (BI2015b) comprises EEG recordings from 44 subjects playing a visual P300-based Brain-Computer Interface videogame called Brain Invaders, collected at GIPSA-lab, Grenoble, France in 2015. Using an oddball paradigm on a 36-symbol grid, participants elicited P300 responses under three flash-duration conditions (50ms, 80ms, 110ms) across three game sessions. The dataset was reformatted into BIDS by MOABB and includes HED event annotations for Target and NonTarget stimuli, intended for benchmarking BCI decoding algorithms.

Participants

44

Channels

32 (10-10)

Citations

9

HED

v8.4.0

Size

8.59 GB

Version

v1.0.4

Updated

Aug 21, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004278-blue…

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026